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Advances in Data-Driven Computing and Intelligent Systems : Selected Papers from ADCIS 2023, Volume 2 / edited by Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello, Jagdish C. Bansal.
- Format:
- Book
- Author/Creator:
- Das, Swagatam.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 892
- Language:
- English
- Subjects (All):
- Telecommunication.
- Electronic circuits.
- Cloud computing.
- Artificial intelligence.
- Signal processing.
- Communications Engineering, Networks.
- Electronic Circuits and Systems.
- Cloud Computing.
- Artificial Intelligence.
- Signal, Speech and Image Processing.
- Local Subjects:
- Communications Engineering, Networks.
- Electronic Circuits and Systems.
- Cloud Computing.
- Artificial Intelligence.
- Signal, Speech and Image Processing.
- Physical Description:
- 1 online resource (536 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Summary:
- This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
- Contents:
- Deep learning models for classification of remotely sensed data of sugarcane
- Detection and Analysis of Wormhole Attacks in the AODV Routing Protocol with IEEE 802.11p for the Internet of Vehicles
- A Systematic Review of NLP Applications in Clinical Healthcare: Advancement and Challenges
- An Investigational Analysis of Automatic Speech Recognition on Deep Neural Networks and Gated Recurrent Unit Model
- Matched Filter and Kirsch’s Template based approach for Retinal Vessel Segmentation
- Prediction of abnormality in kidney function using classification techniques and fuzzy systems
- Implementation of Parallel Applications on the Hypercube Topology by Using Multistage Network
- Integrating Artificial Intelligence for Adaptive Decision-Making in Complex System
- Qualitative Research Reasoning on Dementia Fore-cast using Machine Learning Techniques
- Implementation of Vision Transformers on SPECT Heart Dataset: A Comparative Study
- CSR U-Net: A Novel Approach for Enhanced Skin CancerLesion Image Segmentation
- Automatic Detection and Classification System for Mesothelioma Cancer using Deep Learning Models with HPO
- A systematic literature survey on IoT in Healthcare: Security and Privacy Threats
- Hybrid Deep Learning Framework for Glaucoma Detection Using Fundus Images
- Sunflower Optimization with Elite Learning Strategy (SFO-ELS) for Antenna Selection in Massive MIMO Sub Array Switching Architecture
- Machine Learning Models for Human Activity Recognition: A Comparative Study.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9789819995219
- 9819995213
- OCLC:
- 1424747432
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